Role Overview
The AI & Analytics Leader – Forecasting will own the end-to-end design, development, and scaling of advanced forecasting solutions leveraging AI/ML. This role will drive predictive intelligence across SIOP, demand planning, inventory optimization, and aftermarket growth, translating business problems into scalable AI products. Key Responsibilities
AI Strategy & Vision
– Define the AI roadmap for forecasting across regions and business units; identify high-value use cases (demand sensing, pricing elasticity, parts forecasting, supply optimization); align AI initiatives with enterprise value levers (revenue growth, cost optimization, service levels). Model Development & Deployment
– Design and deploy advanced models (time‑series, probabilistic forecasting, causal ML, GenAI copilots); lead experimentation frameworks (A/B testing, backtesting, scenario simulations); ensure scalable deployment via MLOps pipelines. Productization of AI Solutions
– Convert models into reusable AI products (forecasting engines, APIs, copilots); work closely with product managers to define features, roadmaps, and adoption strategies; drive standardization across markets while enabling localization. Business Impact & Value Realization
– Quantify and track value (forecast accuracy improvement, inventory reduction, revenue uplift); partner with Finance and business teams for value baselining and realization; continuously optimize models based on performance and feedback loops. Stakeholder & Team Leadership
– Collaborate with SIOP leaders, supply chain teams, and digital leadership; lead a team of data scientists, ML engineers, and analysts; act as a thought leader in AI within the organization. Key Skills & Qualifications
10–15 years experience in AI/ML, with strong focus on forecasting or supply chain analytics. Deep expertise in time‑series forecasting, ML, and optimization techniques. Experience with MLOps, cloud platforms (GCP/AWS/Azure), and data ecosystems. Strong business acumen in supply chain/SIOP processes. Proven ability to drive AI adoption at scale. Success Metrics
Forecast accuracy improvement (%). Inventory reduction / working capital impact. Revenue uplift from AI‑driven insights. Adoption rate of AI products across BUs. Pay Range
CHF 140,000.00 – CHF 280,000.00
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The AI & Analytics Leader – Forecasting will own the end-to-end design, development, and scaling of advanced forecasting solutions leveraging AI/ML. This role will drive predictive intelligence across SIOP, demand planning, inventory optimization, and aftermarket growth, translating business problems into scalable AI products. Key Responsibilities
AI Strategy & Vision
– Define the AI roadmap for forecasting across regions and business units; identify high-value use cases (demand sensing, pricing elasticity, parts forecasting, supply optimization); align AI initiatives with enterprise value levers (revenue growth, cost optimization, service levels). Model Development & Deployment
– Design and deploy advanced models (time‑series, probabilistic forecasting, causal ML, GenAI copilots); lead experimentation frameworks (A/B testing, backtesting, scenario simulations); ensure scalable deployment via MLOps pipelines. Productization of AI Solutions
– Convert models into reusable AI products (forecasting engines, APIs, copilots); work closely with product managers to define features, roadmaps, and adoption strategies; drive standardization across markets while enabling localization. Business Impact & Value Realization
– Quantify and track value (forecast accuracy improvement, inventory reduction, revenue uplift); partner with Finance and business teams for value baselining and realization; continuously optimize models based on performance and feedback loops. Stakeholder & Team Leadership
– Collaborate with SIOP leaders, supply chain teams, and digital leadership; lead a team of data scientists, ML engineers, and analysts; act as a thought leader in AI within the organization. Key Skills & Qualifications
10–15 years experience in AI/ML, with strong focus on forecasting or supply chain analytics. Deep expertise in time‑series forecasting, ML, and optimization techniques. Experience with MLOps, cloud platforms (GCP/AWS/Azure), and data ecosystems. Strong business acumen in supply chain/SIOP processes. Proven ability to drive AI adoption at scale. Success Metrics
Forecast accuracy improvement (%). Inventory reduction / working capital impact. Revenue uplift from AI‑driven insights. Adoption rate of AI products across BUs. Pay Range
CHF 140,000.00 – CHF 280,000.00
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Associate Director, Forecasting Analytics Arbeitgeber: CHE8 Carrier Innovation Technologies, GmbH
Als Arbeitgeber bietet unser Unternehmen eine dynamische und innovative Arbeitsumgebung, die sich auf die Entwicklung von KI-Lösungen konzentriert. Wir fördern eine Kultur der Zusammenarbeit und des kontinuierlichen Lernens, in der Mitarbeiter durch gezielte Schulungen und Mentoring-Programme wachsen können. Darüber hinaus profitieren unsere Mitarbeiter von flexiblen Arbeitszeiten und der Möglichkeit, an spannenden Projekten zu arbeiten, die einen direkten Einfluss auf das Unternehmen und die Branche haben.
Kontaktdaten:
CHE8 Carrier Innovation Technologies, GmbH Recruiting-Team
